CN112114582B - Unmanned method and device - Google Patents
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- CN112114582B CN112114582B CN201910530646.3A CN201910530646A CN112114582B CN 112114582 B CN112114582 B CN 112114582B CN 201910530646 A CN201910530646 A CN 201910530646A CN 112114582 B CN112114582 B CN 112114582B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
Abstract
The embodiment of the disclosure discloses an unmanned method and device, relates to the technical field of automobiles, and can solve the problem that the prior art cannot automatically determine a path supported by unmanned driving. The method of the embodiment of the disclosure comprises the following steps: acquiring attribute information of all roads and attribute information of intersections between a starting point and a terminal point; determining an unmanned path according to attribute information of unmanned technical support contained in the acquired attribute information; the attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicle which enters the dispatching platform. The embodiment of the disclosure is mainly applicable to scenes of unmanned taxis.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of automobiles, in particular to an unmanned method and device.
Background
Along with the rapid development of social economy, people have higher and higher requirements on the intellectualization and automation of comfortable, convenient and safe transportation means, and the demand of various operators in each rail transportation industry is greatly increased, so that the running cost is greatly increased, and the travel pressure of people is increased, so that the unmanned automobile slowly approaches the life of people. However, current unmanned vehicles are controlled by the driver when unmanned and when manual driving is performed. That is, in the unmanned process, when the driver finds that the unmanned cannot realize the safe driving, the driver needs to switch to the manual driving. Thus, it is currently not possible to automatically determine the path supported by unmanned driving.
Disclosure of Invention
In view of this, the purpose of the unmanned method and apparatus provided by the embodiments of the present disclosure is to solve the problem that the path supported by unmanned driving cannot be automatically determined in the prior art.
The embodiment of the disclosure mainly provides the following technical scheme:
in a first aspect, embodiments of the present disclosure provide an unmanned method comprising:
acquiring attribute information of all roads and attribute information of intersections between a starting point and a terminal point;
determining an unmanned path according to attribute information of unmanned technical support contained in the acquired attribute information; the attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicle which enters the dispatching platform.
In some embodiments, the method further comprises:
judging whether the unmanned path is a path designated by a user;
if the route is appointed by the user, assigning the taxi taking order to the unmanned vehicle;
if the route is not specified by the user, the taxi order is assigned to the manual driving vehicle.
In some embodiments, assigning the drive order to an artificial driving vehicle includes:
if an indication confirming use of the manually driven vehicle is received, the order for taking the vehicle is assigned to the manually driven vehicle.
In some embodiments, the method further comprises:
recommending the unmanned path to a user;
if an indication confirming use of the unmanned vehicle is received, the order for taking the vehicle is assigned to the unmanned vehicle.
In some embodiments, the attribute information includes physical attribute information and/or descriptive attribute information.
In some embodiments, where the attribute information includes physical attribute information, the physical attribute information of the link includes any one or a combination of the following: reverse information, isolation information and mixing information; the physical attribute information of the intersection comprises any one or a combination of the following items: straight, right turn, left turn, and roundabout.
In some embodiments, where the attribute information includes descriptive attribute information, the descriptive attribute information of the link includes any one or a combination of: map information, lane information, and environment information; the descriptive attribute information of the intersection comprises any one or a combination of the following items: map information, road condition information, and environmental information.
In some embodiments, the environmental information includes signal environmental information and/or natural environmental information.
In a second aspect, embodiments of the present disclosure provide an unmanned device, the device comprising:
the acquisition unit is used for acquiring attribute information of all roads from the starting point to the end point and attribute information of the intersection;
the determining unit is used for determining an unmanned path according to the attribute information of the unmanned technical support contained in the acquired attribute information; the attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicle which enters the dispatching platform.
In some embodiments, the apparatus further comprises:
a judging unit configured to judge whether the unmanned path is a path specified by a user;
a transmitting unit configured to assign a taxi taking order to the unmanned vehicle when the determination result of the determining unit is a path specified by a user; and when the judging result of the judging unit is not the path designated by the user, assigning the taxi taking order to the manual driving vehicle.
In some embodiments, the sending unit is further configured to assign the order for taking the car to the manually driven vehicle when an indication confirming use of the manually driven vehicle is received.
In some embodiments, the apparatus further comprises:
a recommending unit, configured to recommend the unmanned path to a user;
the transmitting unit is further configured to assign the order of taking the car to the unmanned vehicle when an instruction confirming use of the unmanned vehicle is received.
In some embodiments, the attribute information includes physical attribute information and/or descriptive attribute information.
In some embodiments, where the attribute information includes descriptive attribute information, the physical attribute information of the link includes any one or a combination of: reverse information, isolation information and mixing information; the physical attribute information of the intersection comprises any one or a combination of the following items: straight, right turn, left turn, and roundabout.
In some embodiments, where the attribute information includes descriptive attribute information, the descriptive attribute information of the link includes any one or a combination of: map information, lane information, and environment information; the descriptive attribute information of the intersection comprises any one or a combination of the following items: map information, road condition information, and environmental information.
In some embodiments, the environmental information includes signal environmental information and/or natural environmental information.
In a third aspect, an embodiment of the present disclosure provides a storage medium, where the storage medium includes a stored program, and when the program runs, controls a device in which the storage medium is located to execute the unmanned method according to the first aspect.
In a fourth aspect, embodiments of the present disclosure provide an unmanned device comprising a storage medium; and one or more processors coupled to the storage medium, the processors configured to execute the program instructions stored in the storage medium; the program instructions, when executed, perform the unmanned method of the first aspect.
By means of the technical scheme, the unmanned method and the unmanned device can acquire the attribute information of all roads and the attribute information of intersections between the starting point and the destination, and then determine an unmanned path according to the attribute information of unmanned technical support contained in the acquired attribute information. Therefore, the whole unmanned path determination process does not need artificial participation, and automatic determination can be realized.
The foregoing description is merely an overview of the technical solutions of the embodiments of the present disclosure, and may be implemented according to the content of the specification in order to make the technical means of the embodiments of the present disclosure more clearly understood, and in order to make the foregoing and other objects, features and advantages of the embodiments of the present disclosure more comprehensible, the following detailed description of the embodiments of the present disclosure.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the embodiments of the disclosure. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 illustrates a flow chart of an unmanned method provided by an embodiment of the present disclosure;
FIG. 2 illustrates an example diagram of a path splitting provided by an embodiment of the present disclosure;
FIG. 3 illustrates a flow chart of another unmanned method provided by an embodiment of the present disclosure;
FIG. 4 illustrates a flow chart of yet another unmanned method provided by an embodiment of the present disclosure;
FIG. 5 illustrates a block diagram of one type of unmanned device provided by an embodiment of the present disclosure;
fig. 6 shows a block diagram of another unmanned device provided by an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In a first aspect, embodiments of the present disclosure provide an unmanned method, as shown in fig. 1, comprising:
101. and acquiring attribute information of all roads between the starting point and the ending point and attribute information of the intersection.
When a user wants to know whether unmanned driving can be realized in the whole process from the starting point to the end point, all paths between the starting point and the end point can be acquired, each path is split into a road and an intersection, and then the attribute information of each road and the attribute information of each intersection are acquired.
For example, when dividing a path, a road may be marked with X and an intersection with Y, as shown in fig. 2, a path has 3 roads and 2 intersections, and the path=x1+y1+x2+y2+x3.
102. And determining the unmanned path according to the attribute information of the unmanned technical support contained in the acquired attribute information.
The attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicles which enter the dispatching platform, and the attribute information supported by different unmanned vehicles may be different, so that attribute comparison judgment can be respectively carried out for each unmanned vehicle which is not dispatched.
After the attribute information of each road and the attribute information of each intersection are obtained, the obtained attribute information of the road can be compared with the attribute information supported by the unmanned vehicle which enters the dispatching platform, and whether the obtained attribute information of the road is the attribute information of the road supported by the unmanned vehicle is judged; similarly, the acquired attribute information of the intersection is compared with the attribute information of the intersection supported by the unmanned vehicle to judge whether the acquired attribute information of the intersection is the attribute information of the intersection supported by the unmanned vehicle. And then, determining the unmanned path according to the road corresponding to the attribute information of the road supported by the unmanned vehicle in the acquired attribute information of the road and the intersection corresponding to the attribute information of the intersection supported by the unmanned vehicle in the acquired attribute information of the intersection.
According to the unmanned method provided by the embodiment of the invention, the attribute information of all roads and the attribute information of intersections between the starting point and the ending point can be acquired first, and then the unmanned path is determined according to the attribute information of unmanned technical support contained in the acquired attribute information. Therefore, the whole unmanned path determination process does not need artificial participation, and automatic determination can be realized.
In a second aspect, according to the above method embodiment, another embodiment of the disclosure further provides a method for unmanned driving, as shown in fig. 3, the method including:
201. and acquiring attribute information of all roads between the starting point and the ending point and attribute information of the intersection.
Wherein the attribute information includes physical attribute information and/or descriptive attribute information. The physical attribute information of the road includes any one or a combination of the following: reverse information (i.e. whether the road has reverse traffic), isolation information (whether the road has spacers on the left and right sides) and mixed traffic information (whether the road has motor vehicles, non-motor vehicles and pedestrians mixed traffic); the descriptive attribute information of the road comprises any one or a combination of the following: map information, lane information, and environment information; the physical attribute information of the intersection comprises any one or a combination of the following items: straight, right turn, left turn and roundabout; the descriptive attribute information of the intersection comprises any one or a combination of the following items: map information, road condition information, and environmental information.
Specifically, the map information included in the descriptive attribute information of the road includes: whether a high-precision map is covered or not, and whether the high-precision map is time-efficient or not; the lane information included in the descriptive attribute information of the road includes: whether lane lines, lane numbers and average vehicle speed exist or not; the environment information included in the descriptive attribute information of the road includes: the system comprises signal environment information and/or natural environment information, wherein the signal environment information comprises whether a base station signal is covered or not and whether a GPS signal is covered or not, and the natural environment information comprises visibility, illumination intensity, temperature, humidity, rainfall level, snowfall level, haze level, sand and dust weather level, wind power level and current road surface friction coefficient. The map information contained in the descriptive attribute information of the intersection includes: whether a high-precision map is covered and whether the high-precision map is time-efficient; the road condition information contained in the descriptive attribute information of the intersection comprises: whether to mix, the size of the vehicle/people stream, whether to have lane lines and whether to have traffic signs; the environmental information contained in the descriptive attribute information of the intersection includes signal environmental information including whether a base station signal is covered and whether a GPS signal is covered, and/or natural environmental information including visibility, illumination intensity, temperature, humidity, rainfall level, snowfall level, haze level, sand and dust weather level, wind level, and current road surface friction coefficient.
Wherein, when defining the natural environment information, the weather description can be converted into a quantization index. For example, visibility and friction coefficient are ranked, and then the visibility and road friction coefficient are classified according to weather description and weather bureau definition. For example, in the case of heavy fog, the visibility is less than 200 meters, the road friction coefficient is 0.31-0.4, yellow early warning is issued, and the operation vehicle needs to pay attention to weather and safety.
When unmanned development is carried out, the unmanned technology can be continuously improved according to the road attribute information and the intersection attribute information, namely, when a specific scene is discussed, the unmanned technology can be selected and combined according to the road and the intersection. Through gradually realizing the automatic driving of different roads and intersections, finally realize unmanned without scene.
202. And determining the unmanned path according to the attribute information of the unmanned technical support contained in the acquired attribute information.
The attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicle which enters the dispatching platform.
For example, if the wind power level in the acquired descriptive attribute information of a certain intersection is 5 levels and the wind power level supported by the unmanned vehicle that enters the dispatch platform is less than 4 levels, the unmanned vehicle cannot realize unmanned at the intersection. For example, if the reverse information in the obtained physical attribute information of a certain road is a road with a reverse traffic flow, and the unmanned vehicle supports the road with the reverse traffic flow, the unmanned vehicle cannot realize unmanned on the road if other attribute information of the road is also supported.
203. And judging whether the unmanned path is a path designated by a user.
When a user drives, a path which the user expects to drive from a starting point to a destination (for example, the user selects the shortest path) can be input on the driving software, the driving software uploads the path appointed by the user to the server, and after the server determines the unmanned paths, the server can respectively compare each determined unmanned path with the path appointed by the user to judge whether the path appointed by the user exists in the unmanned paths, so that driving order assignment operation is carried out according to a judgment result.
204. If the path is specified by the user, a taxi order is assigned to the unmanned vehicle.
205. If the route is not specified by the user, the taxi order is assigned to the manual driving vehicle.
When there is no path specified by the user in the unmanned path, a taxi order may be assigned to an artificial driving vehicle in order to ensure the user's demand.
The order for taking the car may be assigned to the manually driven vehicle by having the user confirm whether the manually driven vehicle is used before the order for taking the car is assigned to the manually driven vehicle.
In addition, to reduce the cost of manual driving, the unmanned path may be recommended to the user prior to assigning the order to the manually driven vehicle for the user to decide whether the recommended unmanned path may be used. Assigning the order for driving to the manually driven vehicle if an indication confirming use of the manually driven vehicle is received; if an indication confirming use of the unmanned vehicle is received, the order for taking the vehicle is assigned to the unmanned vehicle.
According to the unmanned method provided by the embodiment of the disclosure, not only is the unmanned path determined, but also the taxi taking order can be assigned to the unmanned vehicle or the manual driving vehicle according to the user requirement, so that the effective utilization of the unmanned taxi is realized.
In a third aspect, according to the above method embodiment, another embodiment of the disclosure further provides a method for unmanned driving, as shown in fig. 4, the method including:
301. and acquiring attribute information of all roads between the starting point and the ending point and attribute information of the intersection.
302. And determining the unmanned path according to the attribute information of the unmanned technical support contained in the acquired attribute information. The attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicle which enters the dispatching platform.
303. The unmanned path is recommended to a user.
After determining available unmanned paths between the start point and the end point, the unmanned paths may be recommended to the user for selection by the user.
304. If an indication confirming use of the unmanned vehicle is received, the order for taking the vehicle is assigned to the unmanned vehicle.
When the user selects a certain unmanned path, it may be determined that an indication confirming use of the unmanned vehicle is received and the order for taking the vehicle is assigned to the unmanned vehicle.
When the user does not select the recommended unmanned path, but selects the manual driving path, it may be determined that an indication confirming use of the manual driving vehicle is received and the driving order is assigned to the manual driving vehicle.
According to the unmanned method, not only is the unmanned path determined, but also the unmanned path can be recommended to the user, so that the user can assign a taxi taking order to the unmanned vehicle or the manual driving vehicle according to the requirements, and effective utilization of the unmanned taxi is realized.
In a fourth aspect, according to the above method embodiment, another embodiment of the disclosure further provides a unmanned device, as shown in fig. 5, the device includes:
an acquisition unit 41 for acquiring attribute information of all roads between a start point and an end point and attribute information of an intersection;
a determining unit 42, configured to determine an unmanned path according to attribute information of unmanned technical support included in the acquired attribute information; the attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicle which enters the dispatching platform.
In some embodiments, as shown in fig. 6, the apparatus further comprises:
a judging unit 43 for judging whether the unmanned path is a path designated by a user;
a transmitting unit 44 for assigning a taxi order to the unmanned vehicle when the determination result of the determining unit is a path specified by the user; and when the judging result of the judging unit is not the path designated by the user, assigning the taxi taking order to the manual driving vehicle.
In some embodiments, the sending unit 44 is further configured to assign the taxi order to the manually driven vehicle when an indication confirming use of the manually driven vehicle is received.
In some embodiments, the apparatus further comprises:
a recommending unit 45 for recommending the unmanned path to a user;
the transmitting unit 44 is further configured to assign the order for taking a car to the unmanned vehicle when an instruction confirming use of the unmanned vehicle is received.
In some embodiments, the attribute information includes physical attribute information and/or descriptive attribute information.
In some embodiments, where the attribute information includes physical attribute information, the physical attribute information of the link includes any one or a combination of the following: reverse information, isolation information and mixing information; the physical attribute information of the intersection comprises any one or a combination of the following items: straight, right turn, left turn, and roundabout.
In some embodiments, where the attribute information includes descriptive attribute information, the descriptive attribute information of the link includes any one or a combination of: map information, lane information, and environment information; the descriptive attribute information of the intersection comprises any one or a combination of the following items: map information, road condition information, and environmental information.
In some embodiments, the environmental information includes signal environmental information and/or natural environmental information.
The apparatus includes a processor and a storage medium, in which the above-described acquisition unit 41, determination unit 42, and the like are stored as program units, and the above-described program units stored in the storage medium are executed by the processor to realize the corresponding functions.
The processor comprises a kernel, and the kernel retrieves corresponding program units from the storage medium. The kernel may be provided with one or more of which the unmanned path is automatically determined by adjusting the kernel parameters.
According to the unmanned device provided by the embodiment of the disclosure, the attribute information of all roads from the starting point to the ending point and the attribute information of the intersection can be acquired first, and then the unmanned path is determined according to the attribute information of the unmanned technical support contained in the acquired attribute information. Therefore, the whole unmanned path determination process does not need artificial participation, and automatic determination can be realized.
The unmanned device provided by the embodiment of the fourth aspect may be used to perform the unmanned method provided by the embodiment of the first aspect or the second aspect or the third aspect, and the relevant meanings and specific embodiments may be referred to the relevant descriptions in the embodiment of the first aspect or the second aspect or the third aspect, and will not be described in detail here.
In a fifth aspect, embodiments of the present disclosure provide a storage medium including a stored program, wherein a device in which the storage medium is controlled to perform the unmanned method as described above when the program is run.
The storage medium may include volatile memory, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The instructions stored in the storage medium provided by the embodiment of the disclosure can obtain the attribute information of all roads and the attribute information of intersections between the starting point and the ending point, and then determine the unmanned path according to the attribute information of unmanned technical support contained in the obtained attribute information. Therefore, the whole unmanned path determination process does not need artificial participation, and automatic determination can be realized.
In a sixth aspect, embodiments of the present disclosure provide an unmanned device comprising a storage medium; and one or more processors coupled to the storage medium, the processors configured to execute the program instructions stored in the storage medium; the program instructions, when run, perform the unmanned method as described above.
According to the unmanned device provided by the embodiment of the disclosure, the attribute information of all roads from the starting point to the ending point and the attribute information of the intersection can be acquired first, and then the unmanned path is determined according to the attribute information of the unmanned technical support contained in the acquired attribute information. Therefore, the whole unmanned path determination process does not need artificial participation, and automatic determination can be realized.
Embodiments of the present disclosure also provide a computer program product adapted to perform, when executed on an unmanned device, program code initialized with the method steps of:
acquiring attribute information of all roads and attribute information of intersections between a starting point and a terminal point;
determining an unmanned path according to attribute information of unmanned technical support contained in the acquired attribute information; the attribute information supported by the unmanned technology is the attribute information supported by the unmanned vehicle which enters the dispatching platform.
It will be apparent to those skilled in the art that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, embodiments of the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, embodiments of the present disclosure may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, embodiments of the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, embodiments of the present disclosure may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (16)
1. A method of unmanned steering, the method comprising:
acquiring attribute information of all roads and attribute information of intersections between a starting point and a terminal point;
determining an unmanned path according to attribute information of unmanned technical support contained in the acquired attribute information; the attribute information supported by the unmanned technology is the attribute information supported by an unmanned vehicle which enters a parking scheduling platform;
judging whether the unmanned path is a path designated by a user;
if the route is appointed by the user, assigning the taxi taking order to the unmanned vehicle;
if the route is not specified by the user, the taxi order is assigned to the manual driving vehicle.
2. The method of claim 1, wherein assigning the order for taking the drive to an artificial drive vehicle comprises:
if an indication confirming use of the manually driven vehicle is received, the order for taking the vehicle is assigned to the manually driven vehicle.
3. The method according to claim 1, wherein the method further comprises:
recommending the unmanned path to a user;
if an indication confirming use of the unmanned vehicle is received, the order for taking the vehicle is assigned to the unmanned vehicle.
4. A method according to any of claims 1-3, characterized in that the attribute information comprises physical attribute information and/or descriptive attribute information.
5. The method according to claim 4, wherein in the case where the attribute information includes physical attribute information, the physical attribute information of the road includes any one or a combination of the following: reverse information, isolation information and mixing information; the physical attribute information of the intersection comprises any one or a combination of the following items: straight, right turn, left turn, and roundabout.
6. The method according to claim 4, wherein in case the attribute information comprises descriptive attribute information, the descriptive attribute information of the road comprises any one or a combination of the following: map information, lane information, and environment information; the descriptive attribute information of the intersection comprises any one or a combination of the following items: map information, road condition information, and environmental information.
7. The method according to claim 6, wherein the environmental information comprises signal environmental information and/or natural environmental information.
8. An unmanned device, the device comprising:
the acquisition unit is used for acquiring attribute information of all roads from the starting point to the end point and attribute information of the intersection;
the determining unit is used for determining an unmanned path according to the attribute information of the unmanned technical support contained in the acquired attribute information; the attribute information supported by the unmanned technology is the attribute information supported by an unmanned vehicle which enters a parking scheduling platform;
a judging unit configured to judge whether the unmanned path is a path specified by a user;
a transmitting unit configured to assign a taxi taking order to the unmanned vehicle when the determination result of the determining unit is a path specified by a user; and when the judging result of the judging unit is not the path designated by the user, assigning the taxi taking order to the manual driving vehicle.
9. The apparatus of claim 8, wherein the transmitting unit is further configured to assign the order to the manually driven vehicle when an indication confirming use of the manually driven vehicle is received.
10. The apparatus of claim 9, wherein the apparatus further comprises:
a recommending unit, configured to recommend the unmanned path to a user;
the transmitting unit is further configured to assign the order of taking the car to the unmanned vehicle when an instruction confirming use of the unmanned vehicle is received.
11. The apparatus according to any of claims 8-10, wherein the attribute information comprises physical attribute information and/or descriptive attribute information.
12. The apparatus of claim 11, wherein in the case where the attribute information includes physical attribute information, the physical attribute information of the road includes any one or a combination of the following: reverse information, isolation information and mixing information; the physical attribute information of the intersection comprises any one or a combination of the following items: straight, right turn, left turn, and roundabout.
13. The apparatus of claim 11, wherein, in the case where the attribute information includes descriptive attribute information, the descriptive attribute information of the road includes any one or a combination of: map information, lane information, and environment information; the descriptive attribute information of the intersection comprises any one or a combination of the following items: map information, road condition information, and environmental information.
14. The apparatus of claim 13, wherein the environmental information comprises signal environmental information and/or natural environmental information.
15. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the unmanned method of any one of claims 1 to 7.
16. An unmanned device, the device comprising a storage medium; and one or more processors coupled to the storage medium, the processors configured to execute the program instructions stored in the storage medium; the program instructions, when executed, perform the unmanned method of any of claims 1 to 7.
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